Regression Models for Bounded Responses

Functions to fit regression models for bounded responses, such as rates and proportions. Available models are the flexible beta (Migliorati, S., Di Brisco, A. M., Ongaro, A. (2018) ), the variance-inflated beta (Di Brisco, A. M., Migliorati, S., Ongaro, A. (2020) ), and the beta one (Ferrari, S.L.P., and Cribari-Neto, F. (2004) ). Inference is dealt with a Bayesian approach based on the Hamiltonian Monte Carlo (HMC) algorithm (Gelman, A.; Carlin, J. B.; Stern, H. S. and Rubin, D. B. (2014) ). Besides, functions to compute residuals, posterior predictives, goodness-of-fit measures, convergence diagnostics, and graphical representations are provided.


Reference manual

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1.0 by Roberto Ascari, a month ago

Browse source code at

Authors: Agnese M. Di Brisco [aut, cre] , Roberto Ascari [aut, cre] , Sonia Migliorati [aut] , Andrea Ongaro [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports methods, Rcpp, rstan, rstantools, loo, bayesplot, ggplot2, Formula, utils, grDevices

Suggests testthat

Linking to BH, Rcpp, RcppEigen, rstan, StanHeaders

System requirements: GNU make

See at CRAN